Automated Transcript Analysis and Word Document Generation

This n8n workflow automates the process of handling audio transcripts, from triggering on new files in Google Drive to generating comprehensive Word documents. The workflow begins with a Google Drive trigger that detects new audio or transcript files, which are then processed using DeepGram for speech-to-text transcription. Extracted JSON data from the transcripts is further processed and parsed using custom code nodes. An AI agent powered by LangChain leverages OpenAI’s Chat Model to analyze the transcripts, with structured output parsed for clarity.

The cleaned and analyzed data is then used to generate detailed Word documents via Google Docs. Audio files are renamed and moved within Google Drive to organize the data efficiently. Multiple webhooks are set up to facilitate external interactions or manual testing, and emails can be sent via Gmail for notification purposes. The workflow also automates creating specific folders for transcript evaluation, uploads processed JSON data, and ensures everything is stored systematically.

This workflow is practical for organizations needing to automate transcription analysis, generate reports, or manage interview recordings efficiently. It can be used in customer service, research, or any context requiring automated processing and documentation of audio data.